AIRCRAFT FLUX-FILTERED: UNIV. COL. (FIFE)Entry ID: FIFE_AF_FLT_G
Abstract: The NCAR King Air participation in FIFE-1987 and FIFE-1989 was part of a coordinated atmospheric boundary layer component which included other aircraft, surface measurements, balloon-borne profiles, and SODAR and lidar remote sensing. The chief objective of the boundary layer component was to describe the structure of the atmospheric boundary layer over the FIFE study area, increase knowledge of ... the physical processes active in the daytime boundary layer, and explore the relationship of surface properties to the time and spatial variation in the structure of the boundary layer. The phenomena studied were the daytime convective boundary layer structure and physical processes. This study used airborne measurement of vertical and horizontal wind gusts, humidity, potential temperature, mean horizontal wind speed, and horizontal linear trends of temperature, humidity, radiation. Fluxes of sensible heat, moisture, and momentum were estimated from fast response wind gust, temperature, and humidity measurements; these fluxes were evaluated from data which had been high pass filtered with a third order algorithm with a break point set at 0.012 Hz (5 km wavelength). Several radiation parameters were also measured (e.g., global short and longwave, upwelling, and downwelling). Altitude of the aircraft was measured by radar and pressure; radar was more accurate but was only valid below about 930 m. Geographical position was measured by an inertial navigation system. All level legs of a flight mission were flown at a constant pressure altitude, thus the altitude of the aircraft over the surface varied. In general, the data set is of excellent overall quality with very little loss of data. Vertical winds were sampled at an effective rate of 5 samples per second instead of the customary 10 samples per second; this had negligible effect on the fluxes but could compromise estimates of turbulence dissipation. From extensive analysis the FIFE Boundary Layer Group recommends using the detrended data rather than the filtered data.
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Start Date: 2007-09-30Stop Date: 2010-03-31
ISO Topic Category
Quality The values provided in spatial and temporal coverage are approximate only.
Access Constraints Further details about the models used in this project are available for download from the provided URL.
Use Constraints This data set conforms to the PICCCBY Attribution License
Please follow instructions listed in the citation reference provided at http://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=ASAC_2960 when using these data.
Data Set Progress
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Role: TECHNICAL CONTACT
Phone: +61 2 9385 7065
Email: M.England at unsw.edu.au
CENTRE FOR ENVIRONMENTAL MODELLING AND PREDICTION, SCHOOL OF MATHEMATICS THE UNIVERSITY OF NSW
Province or State: New South Wales
Role: DIF AUTHOR
Phone: +61 3 6232 3244
Fax: +61 3 6232 3351
Email: dave.connell at aad.gov.au
Australian Antarctic Division 203 Channel Highway
Province or State: Tasmania
Postal Code: 7050
Sijp, W. P., M. H. England, and J.R. Toggweiler (2009), Effect of ocean gateway changes under greenhouse warmth, J. Climate, 22, 6639-6652
Sen Gupta, A., A. Santoso, A.S. Taschetto, C.C. Ummenhofer, J. Trevena and M.H. England, (2009), Projected changes to the Southern Hemisphere ocean and sea-ice in the IPCC AR4 climate models, J. Climate, 22, 3047-3078
Sijp, W. P. and M. H. England (2009), The control of polar haloclines by along-isopycnal diffusion in climate models, J. Climate, 22, 486-498
Creation and Review Dates
DIF Creation Date: 2008-02-14
Last DIF Revision Date: 2012-03-02